Senior Analyst - MLOps
First seen by Alion on Nov 4, 2026.
Position : Senior Analyst (ML Ops : Model Deployment & Monitoring)
Experience : 3 - 5 years
Location : Gurgaon, India
Work mode : Work from office, Monday to Friday
Working hours : 2 : 00 PM to 11 : 00 PM IST
Domain : Banking / financial services
The Role : Take machine-learning models from data science into reliable production for banking clients : deploy, monitor and maintain them with strong controls.
What You'll Do :
- Package and deploy models with data scientists, for batch or real-time scoring.
- Build production scoring and data pipelines in Python and PySpark.
- Automate validation, versioning and release workflows.
- Monitor model performance, drift and failures; set up alerts, rollback and recovery.
- Partner with technology, security and governance teams.
- Maintain deployment documentation and runbooks.
What You Bring :
- Strong Python and PySpark skills.
- Hands-on experience deploying ML models and building production scoring pipelines.
- Sound grasp of evaluation metrics, drift and model performance.
- CI/CD, automated testing and model versioning experience.
- Strong troubleshooting across data pipelines and deployment environments.
- Banking domain knowledge and model governance awareness.
Nice to Have :
- Databricks and Azure experience.
- APIs, containers and orchestration platforms.
- Experience with model approvals and audit documentation.
Skills
MLOps, Python, PySpark, Machine Learning, CI/CD Pipeline, Version Control System, Troubleshooting, Azure, Databricks